Name: COVID-19 Indonesia Dataset (Case And Vaccination)
Creator: Kaggle
License: http://opendatacommons.org/licenses/dbcl/1.0/

About this Dataset

COVID-19 Indonesia Dataset (Case And Vaccination)

Context

Since the first time the Covid 19 case in Indonesia attacked, which was announced for the first time on March 2, 2020, it has affected many fields such as the economy to education. many companies or businesses are bankrupt and education is not running properly which is very likely to cause a decline in the academic ability of the nation's young generation. In 2021, Indonesia has started efforts to solve this pandemic through one way, namely vaccines. Several vaccines are used, one of which is Sinovac and will then follow the Nusantara Vaccine.

The reason I created this dataset is not only because I am still pursuing my first professional career (im fresher guys😄 )which is still unclear and also provides data which can then be processed as insight to convince the public that this pandemic will end soon🔥 .

Content

This data was scraped from several source ( I'll write it down in the Acknowledgments section) on March, 15 2021 by Thoriqul Aziz👋

Some data represented all province in Indonesia

The records of each location (province/city/regency) have different date first case or first vaccinated. but the announcement of first case is March, 2 2020 and first vaccination in January, 13 2021

Indonesia Coronavirus daily data Columns Description:

Date: Means the Date of Observation
Province: Means Location/ Province which the data was observed
Daily_Case: Means Daily new number of confirmed case in observed province
Daily_Death: Means Daily new number of confirmed death in observed province
Daily_Recovered: Means Daily new number of confirmed recover in observed province
Active_Case: Means Daily new number of active case such as isolated or threated in hospital (still didnt recover nor die)
Cumulative_Case: Means total for each day number number of confirmed case of the row's date, for the row's province
Cumulative_Recovered: Means total for each day number number of confirmed Recover of the row's date, for the row's province
Cumulative_Death: Means total for each day number of confirmed death of the row's date, for the row's province
Cumulative_Active_Case: Means total for each day number of active case of the row's date, for the row's province

Vaccination Data columns Description:

City_or_Regency: Location which data was observed (regency or city)
Vaccinated: Total person who get Vaccinated ( first vaccination)
Fully_Vaccinated: Total person who get Full Vaccinated (second vaccination)
Total: Total vaccin each day each location
Date: Date of observation
URL: Source of Data

Acknowledgements

All data present in this dataset is get or scraped from:

Inspiration

From this data, you can makes some visualization from trend in several province in indonesia.
you can also combine this dataset with other dataset like GDP Each Province or news in some point time like Lebaran, christmas day, or last PILKADA(regional head elections) in order to get insight and effect of these events on the progression of Covid-19

Source

images cover : Unsplash

Tables

Indonesia Coronavirus Daily Data

@kaggle.riqulaziz_case_vaccination_covid19_indonesia_dataset.indonesia_coronavirus_daily_data

354.14 KB
17613 rows
10 columns


CREATE TABLE indonesia_coronavirus_daily_data (
  "date" TIMESTAMP,
  "province" VARCHAR,
  "daily_case" BIGINT,
  "daily_death" BIGINT,
  "daily_recovered" BIGINT,
  "active_case" BIGINT,
  "cumulative_case" BIGINT,
  "cumulative_recovered" BIGINT,
  "cumulative_death" BIGINT,
  "cumulative_active_case" BIGINT
);

Vaksinasi Jawa Timur

@kaggle.riqulaziz_case_vaccination_covid19_indonesia_dataset.vaksinasi_jawa_timur

16.91 KB
892 rows
7 columns


CREATE TABLE vaksinasi_jawa_timur (
  "city_or_regency" VARCHAR,
  "vaccinated" BIGINT,
  "fully_vaccinated" DOUBLE,
  "total" BIGINT,
  "date" VARCHAR,
  "url" VARCHAR,
  "unnamed_6" VARCHAR
);